Capex Predictive Intelligence Product Manager

Apple Inc

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$128,400–$193,800 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $195k
This role $161k
$116k most similar roles pay here $246k

This role pays less than 79% of similar roles. Most pay $167,677–$223,150 — the shaded band above. At the midpoint, this role pays about $161k versus about $195k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1845 open roles on FindRole.

Listed pay typically runs $163,300–$272,100 across 1508 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · Capex Predictive Intelligence Product Manager

Role Posting Log in to save

The Product Operations Data Team at Apple seeks an experienced Product Manager to drive the predictive intelligence vision for the Capex Equipment Engineering organization. This strategic role involves defining business requirements and prediction objectives that guide machine learning model development, mapping upstream data sources, and partnering with ML engineering teams as a domain expert. The ideal candidate will have 3+ years of analytical experience, a strong quantitative background, and foundational knowledge in predictive modeling. They should be adept at translating complex business problems into precise technical requirements and possess clear communication skills to engage both technical and non-technical audiences. Familiarity with manufacturing or supply chain environments is preferred, as well as experience working across functions to define ML product requirements. This high-growth opportunity offers the chance to transform Capex operations from manual estimation to model-driven prediction, influencing early-stage design decisions and scaling predictive intelligence capabilities within the organization.

Skills

Python SQL ML models Data pipelines Feature engineering Model validation CI/CD AWS Google Cloud Azure MLOps Kubernetes Docker PostgreSQL Snowflake Git JIRA Confluence Tableau PowerBI

What you'll do

  • Define business requirements and prediction objectives for ML model development.
  • Identify and map upstream data sources needed for Capex prediction models.
  • Serve as domain expert and product owner for ML engineering team partnerships.
  • Build and maintain requirements for predictive capabilities used in real-time design guidance.
  • Communicate model outputs, capabilities, and limitations to technical and non-technical audiences.

What we're looking for

  • 3+ years experience in analytical or data-oriented roles
  • BS/MS in Computer Science, Engineering, Data Science, or related quantitative field
  • Strong quantitative analytical skills with complex datasets
  • Foundational understanding of predictive model inputs and outputs
  • Ability to translate business problems into technical requirements
  • Experience working at the interface between business and engineering teams
  • Familiarity with data pipeline concepts and model validation practices

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